Hypothesis validation planning

A hypothesis without a validation plan is just a guess. Planning how to test your hypothesis is as important as forming it. Consider what evidence would prove or disprove your assumption. Identify the metrics you'll track and the methods you'll use.

Validation can take many forms. A/B testing compares different solutions directly. User interviews provide qualitative insights. Analytics data shows behavioral changes. Prototypes let you test ideas before building. Choose methods that match your hypothesis and resources.

Set clear success criteria before testing. Decide what results would convince you to move forward or pivot. This prevents confirmation bias and keeps teams honest about what the data shows. Remember that invalidating a hypothesis is valuable too. It saves time and resources by preventing investment in the wrong solutions.